Triple
T4639811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evers |
E101623
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object |
Dwight Evers
Dwight Evers is an individual notable primarily for bearing the surname Evers.
|
E456833
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dwight Evers | Statement: [Evers, notableBearer, Dwight Evers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dwight Evers Context triple: [Evers, notableBearer, Dwight Evers]
-
A.
Thomas E. Ackerman
Thomas E. Ackerman is an American cinematographer known for his work on popular films including the dark comedy-fantasy "Beetlejuice."
-
B.
John Milledge
John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
-
C.
Levi T. Inkster
Levi T. Inkster was an early settler and landowner in what became Inkster, Michigan, for whom the city is named.
-
D.
Tom Werner
Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
-
E.
Edward G. Hochuli
Edward G. Hochuli is a retired American NFL referee and attorney, widely known for his long tenure in the league and his detailed on-field penalty explanations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dwight Evers Triple: [Evers, notableBearer, Dwight Evers]
Generated description
Dwight Evers is an individual notable primarily for bearing the surname Evers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dwight Evers Target entity description: Dwight Evers is an individual notable primarily for bearing the surname Evers.
-
A.
Thomas E. Ackerman
Thomas E. Ackerman is an American cinematographer known for his work on popular films including the dark comedy-fantasy "Beetlejuice."
-
B.
John Milledge
John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
-
C.
Levi T. Inkster
Levi T. Inkster was an early settler and landowner in what became Inkster, Michigan, for whom the city is named.
-
D.
Tom Werner
Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
-
E.
Edward G. Hochuli
Edward G. Hochuli is a retired American NFL referee and attorney, widely known for his long tenure in the league and his detailed on-field penalty explanations.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43d3bc7c81908f81fcf380476b0f |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a8e0ee88190becab97d2ef1571a |
completed | March 20, 2026, 2:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfacf3cb08190a080e5ed1063902f |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfb70b9d48190a32c5cc753c45aab |
completed | March 21, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfc54e194819080b1eb5b9f0dfe9e |
completed | March 21, 2026, 2:03 a.m. |
Created at: March 20, 2026, 1:14 p.m.